navab ghaedi - Department of Electrical Engineering, Science and Research Branch, Islamic Azad university, Tehran, Iran
Ali Jamshidi - Shiraz University
Behrad Mahboobi - ۳Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Ramezan Ali Sadeghzadeh - ۴Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran.

In this paper, we investigate the multiple-input multiple-output systems (MIMO) and the co-channel interference cancelation in these systems. In recent years, the usages of array antennas in the receiver/ transmitter or both have greatly increased in telecommunication systems. Due to the increasing transmission data rate and the decreasing error rate, the MIMO systems in wireless communication systems are very important. In the third, fourth, and fifth generations of wireless communications in order to increase the network capacity and spectrum efficiency, the same frequency channel is allocated to different users. This leads to co-channel interference for the users with the same frequency channel. Thus, it is essential to eliminate inter-channel interference in telecommunication networks. In this paper, an adaptive algorithm is evaluated to eliminate the co-channel interference in MIMO systems. We also investigate the algorithm in indoor and outdoor environments using the Wiener model, with direct and indirect channels using the Rayleigh and Rice fading models and calculate the error probability in different conditions. In order to improve the performance of the system in uplink transmission, auxiliary antennas and linear arrays of antennas at the receiver are used. The results of the proposed algorithm are simulated and compared with the previous conventional methods.

Multiple-input multiple-output system (MIMO), Indoor and outdoor auxiliary antennas, LMS algorithm